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Pelatihan Dan Penerapan Sistem Surat Digital Untuk Meningkatkan Efisiensi Administrasi di Kantor Kepala Desa Dalu Sepuluh Zulham Zulham; Buyung Solihin Hasugian; Muhammad Eka; Sri Wahyuni
Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2025): Desember 2025
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v4i2.305

Abstract

The rapid development of information technology, particularly artificial intelligence (AI), requires teachers to integrate digital tools into the learning process. However, many teachers still face difficulties in creating engaging, systematic, and communicative presentation media due to limited time, insufficient design skills, and high administrative workloads. This problem was also found among teachers at SMA Negeri 5 Medan, who mostly relied on conventional presentation media. As a solution, this community service activity was conducted through training on the utilization of the Gamma Application, an AI-based platform that enables automatic presentation creation using text-based commands. A total of 30 teachers participated in this activity. The methods applied included workshops, hands-on practice, and interactive discussion sessions. Teachers were guided from the introduction of Gamma’s features to content development and the production of ready-to-use presentation slides. This activity aimed to improve teachers’ digital competence and support the development of more innovative, attractive, and effective learning media. Its main contribution lies in enhancing teachers’ skills in using AI-based technology and strengthening digital-based learning practices in schools. The results showed that all participants were able to operate the Gamma Application and produce more visually appealing, well-structured, and communicative learning presentations. Furthermore, teachers’ understanding of the role of technology in supporting the learning process significantly improved. Therefore, this activity had a positive impact on the quality of instructional media and teachers’ insights into the use of digital technology.
PENERAPAN ALGORITMA GRONSFELD DALAM PENGAMANAN DATA PENJUALAN SPAREPART hendri satrianto; zulham zulham; amru yasir
Djtechno: Jurnal Teknologi Informasi Vol 6, No 2 (2025): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i2.7365

Abstract

AbstrakPerkembangan teknologi informasi telah memungkinkan komunikasi dan pertukaran data tanpa batasan jarak dan waktu. Seiring dengan meningkatnya kebutuhan akan keamanan data, perlindungan terhadap kerahasiaan informasi menjadi sangat penting. Salah satu cara untuk menjaga kerahasiaan data adalah dengan menggunakan kriptografi, yang mencakup proses enkripsi dan dekripsi pesan. Dalam hal ini, algoritma Gronsfeld Cipher digunakan sebagai solusi untuk meningkatkan keamanan data penjualan pada PT. Buana Jaya Lestari, yang masih menggunakan sistem manual berbasis Microsoft Excel untuk menyimpan data penjualan sparepart sepeda motor. Sistem tersebut rentan terhadap pencurian dan manipulasi data. Penelitian ini bertujuan untuk merancang aplikasi berbasis web yang dapat mengamankan database penjualan dengan menerapkan algoritma Gronsfeld Cipher. Algoritma ini bekerja dengan menggantikan karakter plaintext menggunakan angka untuk mengenkripsi data, sehingga menghasilkan ciphertext yang lebih aman. Dengan penerapan algoritma ini, diharapkan dapat mengatasi masalah pencurian data dan memberikan solusi keamanan yang lebih baik untuk perusahaan. Penelitian ini juga memberikan kontribusi dalam meningkatkan pemahaman tentang penerapan kriptografi dalam melindungi data sensitif, khususnya di lingkungan bisnis.
OPTIMALISASI TRANSFORMASI DATA SEMI-TERSTRUKTUR DAN TIDAK TERSTRUKTUR BERBASIS XML/JSON DALAM ARSITEKTUR DATA WAREHOUSE MODERN Andy Satria; Zulham Zulham; Salamah Salamah
Djtechno: Jurnal Teknologi Informasi Vol 6, No 2 (2025): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i2.7366

Abstract

Perkembangan teknologi informasi telah memperluas tantangan dalam pengelolaan data warehouse, khususnya dalam mentransformasi data semi-terstruktur dan tidak terstruktur. Penelitian ini bertujuan untuk membandingkan efektivitas beberapa metode transformasi data dalam mengintegrasikan format data yang heterogen. Pendekatan yang digunakan berupa analisis komparatif terhadap teknik berbasis XML dan JSON, dengan indikator evaluasi mencakup akurasi, kecepatan pemrosesan, dan kompleksitas algoritmik. Hasil penelitian menunjukkan bahwa metode berbasis XML/JSON memberikan kinerja terbaik, dengan akurasi transformasi sebesar 87,5%, waktu pemrosesan tercepat 120 milidetik, serta tingkat kompleksitas yang rendah. Temuan ini menunjukkan bahwa penggunaan metode transformasi yang fleksibel dan adaptif sangat diperlukan dalam arsitektur data warehouse modern, terutama dalam menghadapi tantangan integrasi data dari berbagai sumber
PENERAPAN KONSEP STEM DALAM PENGEMBANGAN SISTEM INFORMASI PENGADAAN BARANG DAN PROGRAM REWARD POINT BERBASIS DESKTOP PADA PROSES BISNIS Sri Wahyuni; Zulham Zulham; Amru Yasir
Djtechno: Jurnal Teknologi Informasi Vol 6, No 3 (2025): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i3.8102

Abstract

This research presents a desktop-based Goods Procurement Information System model that integrates an adaptive reward point mechanism as an instrument for controlling the process and user behavior in managing the purchase of household goods. Different from conventional procurement systems that focus on recording transactions, this system is designed with a STEM approach to convert operational activities into measurable performance indicators through a mathematical algorithm for awarding points. This approach allows the system to function not only as an administrative tool but as a data-driven work process regulation mechanism. The research method used was quasi-experimental with a comparative analysis before and after system implementation. Transaction data was analyzed to measure changes in procurement cycle times, recording error rates, and user compliance with the system flow. The results of the study showed that the implementation of the system resulted in a significant increase in process efficiency, a decrease in data errors and a consistent increase in user compliance levels. Reward point integration has proven effective in shifting user work patterns from reactive to proactive because every operational action has measurable performance consequences. This finding confirms that innovation in procurement information systems cannot be achieved solely through technical automation, but rather through the integration of system design, performance measurement, and algorithm-based incentive mechanisms. The proposed model provides conceptual and practical contributions as a new approach in the digital transformation of household goods purchasing management that is oriented towards efficiency, accountability and sustainable changes in work behavior.
The Effect of AI-Assisted Marketing on MSME Product Promotion Effectiveness: The Role of Customer Engagement among MSMEs in Dalu Sepuluh B Village Sri Wahyuni; Zulham; Buyung Solihin Hasugian
Information Technology Education Journal Vol. 5, No. 3, August (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i3.14548

Abstract

Purpose –Examine the effect of AI-Assisted Marketing on Promotional Effectiveness and analyze Customer Engagement as a mediating variable among MSMEs in Dalu Sepuluh B Village. The study addresses the limited use of AI to improve promotional effectiveness and customer engagement, particularly among rural MSMEs. Design/methods/approach –Employs a quantitative explanatory cross-sectional design to examine the effect of AI-Assisted Marketing on Promotional Effectiveness. The study involves 100 MSME respondents selected through purposive sampling. Data are collected using a questionnaire consisting of 12 indicators measured on a five-point Likert scale. Data analysis is conducted using PLS-SEM through SmartPLS, including assessment of outer loadings, Cronbach's Alpha, Composite Reliability, AVE, HTMT, path coefficients, t-statistics, p-values, R², and f². Findings – H1 supported: AI-Assisted Marketing has a positive and significant effect on β = 0.509; p < 0.001, H2 supported: β = 0.394; p < 0.001, H3 supported: AI-Assisted Marketing has a direct and significant effect on Promotional Effectiveness (β = 0.281; p = 0.004), H4 supported: Customer Engagement significantly mediates indirect effect = 0.201, The R² for Customer Engagement = 0.259, The R² for Promotional Effectiveness = 0.347. Research implications/limitations –that AI can improve promotional effectiveness and customer engagement. However, generalizability is limited to the context of MSMEs in Dalu Sepuluh B Village. The cross-sectional design and self-reported data also limit causal interpretation. Originality/value – the mechanism linking AI-Assisted Marketing, Customer Engagement, and Promotional Effectiveness, rather than focusing solely on AI adoption. It contributes to the literature on AI-enabled marketing and MSME digital transformation.